Software Defect Prediction Using Heterogeneous Ensemble Classification Based on Segmented Patterns
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Hossam Faris | Ibrahim Aljarah | Hamad I. Alsawalqah | Hamad Alsawalqah | Neveen Hijazi | Mohammed Eshtay | Ahmed Al Radaideh | Yazan Alshamaileh | Hossam Faris | Ibrahim Aljarah | Yazan Alshamaileh | Mohammed Eshtay | A. Radaideh | Neveen Hijazi
[1] Irena Koprinska,et al. Learning to classify e-mail , 2007, Inf. Sci..
[2] Karim O. Elish,et al. Predicting defect-prone software modules using support vector machines , 2008, J. Syst. Softw..
[3] Hongfang Liu,et al. Building effective defect-prediction models in practice , 2005, IEEE Software.
[4] Divya Tomar,et al. A Feature Selection Based Model for Software Defect Prediction , 2014 .
[5] Qinbao Song,et al. Data Quality: Some Comments on the NASA Software Defect Datasets , 2013, IEEE Transactions on Software Engineering.
[6] Manju Khari,et al. Empirical Study of Software Defect Prediction: A Systematic Mapping , 2019, Symmetry.
[7] Taghi M. Khoshgoftaar,et al. Software quality estimation with limited fault data: a semi-supervised learning perspective , 2007, Software Quality Journal.
[8] Sandeep Kumar,et al. An empirical study of some software fault prediction techniques for the number of faults prediction , 2017, Soft Comput..
[9] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[10] Tadashi Dohi,et al. A Neuro-Based Software Fault Prediction with Box-Cox Power Transformation , 2017 .
[11] Mohamed Abdelrazek,et al. An Ensemble Oversampling Model for Class Imbalance Problem in Software Defect Prediction , 2018, IEEE Access.
[12] Cagatay Catal,et al. Software fault prediction: A literature review and current trends , 2011, Expert Syst. Appl..
[13] Ruchika Malhotra,et al. A systematic review of machine learning techniques for software fault prediction , 2015, Appl. Soft Comput..
[14] Raed Shatnawi,et al. The effectiveness of software metrics in identifying error-prone classes in post-release software evolution process , 2008, J. Syst. Softw..
[15] Tracy Hall,et al. Software defect prediction: do different classifiers find the same defects? , 2017, Software Quality Journal.
[16] Naomi S. Altman,et al. Points of Significance: Model selection and overfitting , 2016, Nature Methods.
[17] Yue Jiang,et al. Techniques for evaluating fault prediction models , 2008, Empirical Software Engineering.
[18] Divya Tomar,et al. Prediction of Defective Software Modules Using Class Imbalance Learning , 2016, Appl. Comput. Intell. Soft Comput..
[19] Inci Batmaz,et al. A review of data mining applications for quality improvement in manufacturing industry , 2011, Expert Syst. Appl..
[20] Madan Gopal,et al. Least squares twin support vector machines for pattern classification , 2009, Expert Syst. Appl..
[21] Banu Diri,et al. Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm , 2011, Expert Syst. Appl..
[22] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[23] Sandeep Kumar,et al. Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems , 2017, Knowl. Based Syst..
[24] Zsuzsanna Marian,et al. Software defect prediction using relational association rule mining , 2014, Inf. Sci..
[25] Yang Guo,et al. An Investigation of Imbalanced Ensemble Learning Methods for Cross-Project Defect Prediction , 2019, Int. J. Pattern Recognit. Artif. Intell..
[26] Sandeep Kumar,et al. Predicting Number of Faults in Software System using Genetic Programming , 2015, SCSE.
[27] Aurora Trinidad Ramirez Pozo,et al. A symbolic fault-prediction model based on multiobjective particle swarm optimization , 2010, J. Syst. Softw..
[28] Sandeep Kumar,et al. A study on software fault prediction techniques , 2019, Artificial Intelligence Review.
[29] Venkata U. B. Challagulla,et al. Empirical Assessment of Machine Learning Based Software Defect Prediction Techniques , 2008, Int. J. Artif. Intell. Tools.
[30] John Yearwood,et al. A Framework for Software Defect Prediction and Metric Selection , 2018, IEEE Access.
[31] Alípio Mário Jorge,et al. Ensemble approaches for regression: A survey , 2012, CSUR.
[32] Yi Peng,et al. Ensemble of Software Defect Predictors: an AHP-Based Evaluation Method , 2011, Int. J. Inf. Technol. Decis. Mak..
[33] Bart Baesens,et al. Mining software repositories for comprehensible software fault prediction models , 2008, J. Syst. Softw..
[34] Xiang Chen,et al. Improving defect prediction with deep forest , 2019, Inf. Softw. Technol..
[35] Ali Selamat,et al. A survey on software fault detection based on different prediction approaches , 2014, Vietnam Journal of Computer Science.
[36] S. Kanmani,et al. Object-oriented software fault prediction using neural networks , 2007, Inf. Softw. Technol..
[37] Khaled El Emam,et al. Comparing case-based reasoning classifiers for predicting high risk software components , 2001, J. Syst. Softw..
[38] Qinbao Song,et al. Using Coding-Based Ensemble Learning to Improve Software Defect Prediction , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[39] Ayse Basar Bener,et al. Defect prediction from static code features: current results, limitations, new approaches , 2010, Automated Software Engineering.
[40] Banu Diri,et al. Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem , 2009, Inf. Sci..